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Harbin Institute of Technology
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STEAM redefines how robots learn from mixed-quality data, achieving up to 59% higher success rates in real-world tasks by effectively identifying reliable progress.
LaWAM achieves up to 24x lower latency than traditional pixel-space models while maintaining state-of-the-art performance in robot control tasks.
